CODE-RADE - Community Infrastructure for the Delivery of Physics Applications

TL;DR

CODE-RADE is a platform that streamlines the deployment of scientific applications across distributed computing environments, enhancing automation, trust, and collaboration in scientific research.

Contribution

It introduces a user-driven, automated platform for managing dependencies and configurations of scientific applications in distributed environments.

Findings

Automates dependency and configuration management for scientific apps.

Speeds up deployment and reduces workload for HPC and cloud administrators.

Facilitates trust and collaboration between infrastructure providers and scientific communities.

Abstract

Scientific computing can in some sense be distilled to the execution of an application - or rather sets of applications which are combined into complex workflows. Due to the complexity and number both of scientific packages as well as computing platforms, delivering these applications to end users has always been a significant challenge through the grid era, and remains so in the cloud era. In this contribution we describe a platform for user-driven, continuous integration and delivery of research applications in a distributed environment - project CODE-RADE. Starting with 6 hypotheses describing the problem at hand, we put forward technical and social solutions to these. Combining widely-used and thoroughly-tested tools, we show how it is possible to manage the dependencies and configurations of a wide range of scientific applications, in an almost fully-automated way. The CODE-RADE platform is a means for developing trust between public computing and data infrastructures on the one hand and various developer and scientific communities on the other hand. Predefined integration tests are specified for any new application, allowing the system to be user-driven. This greatly accelerates time-to-production for scientific applications, while reducing the workload for administrators of HPC, grid and cloud installations. Finally, we will give some insight into how this platform could be extended to address issues of reproducibility and collaboration in scientific research in Africa.